AI for Learning
Postgraduate course
- ECTS credits
- 5
- Teaching semesters Autumn
- Course code
- HAIS662
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
Objectives
The aim of the course is to equip participants with knowledge about historical, contemporary, theoretical, practical, and evaluative aspects of the use of artificial intelligence (AI) in learning contexts, including educational, professional, and everyday settings. Perspectives on the design, critiquing, evaluation and deployment of AI for Learning are also addressed. The course provides in-depth, cross-disciplinary coverage of the field of AI for Learning that is at the intersection of technology, human-computer interaction, education, psychology, philosophy, sociology, and law.
Content
The course covers a selection of central topics such as AI and learning, AI technologies (including genAI), AI governance, AI literacy, AI ethics, and future directions. The course encourages critical thinking about the technological, pedagogical, market, ethical, social, and legal implications of AI in learning contexts, equipping participants with the ability to reflect on its responsible use.
Learning Outcomes
Upon completion of the course, the student will have the following learning outcomes:
Knowledge
The student can:
- explain the theoretical foundations underlying the use of AI for learning in professional, and everyday learning contexts
- recognise ethical and privacy considerations in the application of AI for learning
Skills
The student can:
- apply knowledge to the planning, design, critiquing, deployment, and evaluation of AI for learning in various contexts
- participate in interdisciplinary teams evaluating AI systems for learning
General competencies
The student can:
- work effectively in interdisciplinary teams
- participate in discussions on the role of AI for learning in various contexts
ECTS Credits
Level of Study
Semester of Instruction
Place of Instruction
Required Previous Knowledge
You must document that you meet both of the following admission requirements:
- A Bachelor's degree, cand.mag. degree, or an equivalent qualification or basic education with a minimum duration of three years / 180 credits
- A minimum of two years of work experience
Particularly extensive and relevant work experience beyond the minimum requirement of two years may, following an individual assessment, replace up to one year of the educational requirement (60 credits).
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
Compulsory Assignments and Attendance
Group project presentation
Participation in 80% course seminars.
Compulsory assignments/activities given throughout the semester must be completed and approved.
Approved compulsory requirements are valid for three semesters.
Forms of Assessment
The course uses the following forms of assessment:
Written exam, 2 parts
- Project report, group (60%)
- Perfomance review of group work, individual (40%)